| A general approach to maximise information density in neutron reflectometry analysis AR McCluskey, JFK Cooper, T Arnold, T Snow Machine Learning: Science and Technology 1 (3), 035002, 2020 | 16 | 2020 |
| Bayesian determination of the effect of a deep eutectic solvent on the structure of lipid monolayers AR McCluskey, A Sanchez-Fernandez, KJ Edler, SC Parker, AJ Jackson, ... Physical Chemistry Chemical Physics 21 (11), 6133-6141, 2019 | 12 | 2019 |
| Disordered filaments mediate the fibrillogenesis of type I collagen in solution AR McCluskey, KSW Hung, B Marzec, JO Sindt, NAJM Sommerdijk, ... Biomacromolecules 21 (9), 3631-3643, 2020 | 11 | 2020 |
| Assessing molecular simulation for the analysis of lipid monolayer reflectometry AR McCluskey, J Grant, AJ Smith, JL Rawle, DJ Barlow, MJ Lawrence, ... Journal of Physics Communications 3 (7), 075001, 2019 | 11 | 2019 |
| Overscreening and underscreening in solid-electrolyte grain boundary space-charge layers JM Dean, SW Coles, WR Saunders, AR McCluskey, MJ Wolf, AB Walker, ... Physical Review Letters 127 (13), 135502, 2021 | 9 | 2021 |
| An introduction to classical molecular dynamics simulation for experimental scattering users AR McCluskey, J Grant, AR Symington, T Snow, J Doutch, BJ Morgan, ... Journal of Applied Crystallography 52 (3), 665-668, 2019 | 6 | 2019 |
| Advice on describing Bayesian analysis of neutron and X-ray reflectometry AR McCluskey, AJ Caruana, CJ Kinane, AJ Armstrong, T Arnold, ... Journal of Applied Crystallography 56 (1), 2023 | 5 | 2023 |
| Nature of the Superionic Phase Transition of Lithium Nitride from Machine Learning Force Fields G Krenzer, J Klarbring, K Tolborg, H Rossignol, AR McCluskey, ... Chemistry of Materials 35 (15), 6133-6140, 2023 | 4 | 2023 |
| Accurate estimation of diffusion coefficients and their uncertainties from computer simulation AR McCluskey, SW Coles, BJ Morgan arXiv preprint arXiv:2305.18244, 2023 | 2 | 2023 |
| Is there still a place for linearization in the chemistry curriculum? AR McCluskey | 2 | 2023 |
| FitBenchmarking: an open source Python package comparing data fitting software A Markvardsen, T Rees, M Wathen, A Lister, P Odagiu, A Anuchitanukul, ... Journal of Open Source Software 6 (62), 3127, 2021 | 2 | 2021 |
| pylj: A teaching tool for classical simulation AR McCluskey, BJ Morgan, KJ Edler, SC Parker The Journal of Open Source Education 1 (2), 19, 2018 | 2 | 2018 |
| kinisi: Bayesian analysis of mass transport from molecular dynamics simulations AR McCluskey, A Squires, S Coles, B Morgan The Journal of Open Source Software, 2023 | 1 | 2023 |
| uravu: Making Bayesian modelling easy (er) AR McCluskey, T Snow Journal of Open Source Software 5 (50), 2214, 2020 | 1 | 2020 |
| Investigating model influence on the analytical resolution of neutron reflectometry N Shiaelis, LA Clifton, AR McCluskey arXiv preprint arXiv:2403.13566, 2024 | | 2024 |
| The First European Spallation Source Data Management and Software Centre Summer School AR McCluskey, P Aulin, F Bolmsten, M Bertelsen, CMC Lobley, J Lewis, ... Neutron News, 1-3, 2024 | | 2024 |
| islatu: A Python package for the reduction of reflectometry data R Brearton, A McCluskey, T Snow Journal of Open Source Software 7 (77), 4397, 2022 | | 2022 |
| The 16th International Conference on Surface X-ray and Neutron Scattering (SXNS16) T Arnold, A Terry, E Blackburn, U Hejral, Z Heyles, A McCluskey, ... Neutron News 33 (2), 2-4, 2022 | | 2022 |
| A Report on the Third Meeting of the Open Reflectivity Standards Organisation (ORSO) T Arnold, B Murphy, AR McCluskey, J Stahn, MWA Skoda Neutron News 33 (1), 2-3, 2022 | | 2022 |
| Coarse-grained modelling for soft matter scattering A McCluskey University of Bath, 2019 | | 2019 |
Benjamin J. MorganDepartment of Chemistry, University of BathVerified email at bath.ac.uk
